Note the zsh is only if you’re working with the zsh shell. If for some reason it doesn’t do so (which happened in my case), you will have to run conda init yourself using /path/to/mambaforge/bin/conda init zsh.This should ask you if you want it to run conda init for you.You can, of course, also opt for one of the other deployment versions listed on that page. Navigate to this Github repository and select the Mambaforge-MacOSX-arm64 installer.For example, I personally encountered this with Dask’s memory usage blowing up when importing a env-name.txt OR environment.yml into your terminal. This often works great but may cause unexpected problems for specific PyData libraries. When you install a library written for Intel CPU architecture, the code will be run through the Rosetta emulator. However, if you’re running the PyData Stack with default builds, you may encounter some strange behaviour. The Apple M1 silicon chip is a fantastic innovation: it’s low-power, high-efficiency, has great battery life, and is inexpensive. We hope this will be helpful for people running into similar issues. It then discusses some issues specific to running Dask, Coiled and XGBoost. This article provides a step-by-step guide of how to set that up on your machine. Running PyData libraries on an Apple M1 machine requires you to use an ARM64-tailored version of conda-forge.
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